DOCSIS 3.1 Downstream Early Lessons Learned
By John J. Downey, Cisco Systems Inc.
|
2017 |
Upstream OFDMA Anomaly Detection and Triaging
By Jay Zhu & Karthik Sundaresan, CableLabs
|
2021 |
Field Measurements of Nonlinear Distortion in Digital Cable Plants
By Tom Williams and Belal Hamzeh, CableLabs and Ron Hranac, Cisco Systems
|
2014 |
Using PNM Tools to Identify Misaligned Amplifiers
By Mike O'Dell, Comcast; Westley Darby, Comcast; Jason Rupe, CableLabs; Andy Martushev, Comcast; Alex Zayvelev, Comcast
|
2023 |
Network Migration Demystified In The DOCSIS 3.1 Era And Beyond
By Ayham Al-Banna, Tom Cloonan, and Frank O’Keeffe, ARRIS, and Dennis Steiger, nbn
|
2016 |
Practical Lessons from D3.1 Deployments and a Profile Management Application
By Karthik Sundaresan, Jay Zhu & Mayank Mishra, CableLabs; James Lin, Kyrio/CableLabs
|
2019 |
Monitoring The Variable Network: Impact Of DOCSIS® 3.1 On Plant Utilization Metrics
By Niki Pantelias, Broadcom Corporation
|
2015 |
DOCSIS 3.1 Overdrive: Dynamic Optimization Using A Programmable Physical Layer
By Saifur Rahman and Joe Solomon,
Comcast, Jason Schnizter and Dr. David Early,
Applied Broadband
|
2016 |
A Deep Learning Approach for Detecting RF Spectrum Impairments and Conducting Root Cause Analysis
By Kevin Dugan, Justin Evans, Maher Harb; Comcast
|
2022 |
Developing the DOCSIS 4.0 Playbook for the Season of 10G
By Dr. Robert Howald, Jon Cave & Olakunle Ekundare, Comcast; John Williams & Matt Petersen, Charter Communications
|
2021 |
When Physical Layer Simulation Gets Real
By Ramya Narayanaswamy, Karthik Subramanya, Dr. Richard Prodan & Larry Wolcott, Comcast
|
2021 |
Proactive Network Maintenance (PNM) Paves the Way for More Upstream Bandwidth
By Takashi Hayakawa, Mike O’Dell, Paul Schauer, Larry Wolcott; Comcast
|
2022 |
Managing the Data Firehose to Put Out Network Fires
By Jingjie Zhu, CableLabs
|
2022 |
A Practical Approach to Virtualizing DOCSIS 3.1 Network Functions
By David S. Early, Applied Broadband, Inc.; Paul E. Schauer, Comcast; Jason K. Schnitzer, Applied Broadband, Inc
|
2017 |
Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations
By Brady Volpe, The VolpeFirm and NimbleThis; Berk Ottlik, NimbleThis LLC
|
2021 |
Convolutional Neural Networks for Proactive Network Management
By Jude Ferreira, Maher Harb, Karthik Subramanya, Bryan Santangelo & Dan Rice, Comcast
|
2020 |
Time is Ripe for D3.0 Farming: Achieving Optimal Spectral Efficiency by Allocating D3.0 Spectrum to OFDM
By Maher Harb, Chad Humble, Sebnem Ozer, Dan Rice; Comcast
|
2022 |
Kickstarting Proactive Network Maintenance with the Proactive Operations Platform and Example Application
By Jason Rupe, Ph.D. & Jingjie Zhu, CableLabs
|
2019 |
Right Technician at the Right Time: Using Machine Learning to Predict Network Maintenance Issues
By Anastasia Vishnyakova, Rama Mahajanam, Mike O’Dell, May Merkle-Tan, Catherine Hay & Lisa Pham, Comcast Cable
|
2021 |
Upstream Triggered Spectrum Capture
By Allen Maharaj, Rogers Communications; James Medlock, Akleza, INC
|
2023 |
